At a Glance
- Tasks: Design and develop AI systems to revolutionise index research and automation.
- Company: Join MSCI, a leader in financial analytics and innovative technology.
- Benefits: Enjoy flexible working, competitive pay, and comprehensive benefits tailored for you.
- Why this job: Be at the forefront of AI innovation and make a real impact in finance.
- Qualifications: Degree in a quantitative field with experience in AI and strong Python skills.
- Other info: Collaborative culture with opportunities for professional growth and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
Your Team Responsibilities
The AI Index R&D team is part of MSCI’s broader Index Research and Development organization, driving innovation through the integration of artificial intelligence and data science into index research, construction, and delivery. Our team develops AI-powered tools, frameworks, and workflows that enhance the efficiency, scalability, and insight generation of index research. We work closely with Data & AI, Index Engineering, and Index Product teams to explore how large language models (LLMs), retrieval-augmented generation (RAG), and agentic systems can transform how MSCI designs, evaluates, and communicates index methodologies. The team operates at the intersection of AI research, applied engineering, and financial analytics, combining technical innovation with domain expertise to shape the next generation of MSCI Index capabilities.
Your Key Responsibilities
- Design and develop advanced AI systems leveraging LLMs, RAG, and agentic architectures to enhance index research, methodology interpretation, and automation.
- Prototype and validate new AI concepts, translating research ideas into working, production-ready solutions.
- Integrate and optimize AI workflows with data systems such as Snowflake, ClickHouse, and internal APIs to enable scalable and intelligent automation.
- Develop and maintain testing, evaluation, and quality-control frameworks to ensure reliability and transparency of AI-generated outputs.
- Collaborate cross-functionally with Index R&D, Data & AI, and Engineering teams to ensure alignment between AI innovation and business priorities.
- Explore emerging technologies in LLM orchestration, multi-agent reasoning, and Model Context Protocol (MCP) to identify and adopt best practices for MSCI’s AI ecosystem.
- Contribute to the evolution of MSCI’s AI Index framework, helping define standards, governance, and deployment practices for responsible AI in index research.
Your Skills And Experience That Will Help You Excel
- Bachelor’s or Master’s degree in Computer Science, Engineering, Finance, or another quantitative field with exposure to AI or Data Science.
- Over 6 years’ experience in the financial services or data industry; 1–2 years of hands-on experience with large language models (LLMs), RAG systems, agentic workflows, or applied AI research.
- Strong Python programming skills, with experience using modern AI and orchestration frameworks such as LangChain, LlamaIndex, or equivalent.
- Familiarity with data infrastructure (SQL, Snowflake, ClickHouse) and cloud environments (Azure, AWS, or GCP).
- Understanding of financial indexes, factors, ESG, and thematic investing and their role in institutional portfolios.
- Experience designing multi-step reasoning systems and scalable API-based solutions.
- Excellent analytical, communication, and presentation skills, with a detail-oriented and proactive mindset.
- Ability to work effectively in a collaborative, fast-paced research environment, balancing innovation with methodological rigor.
About MSCI
At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.
What we offer you
- Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
- Flexible working arrangements, advanced technology, and collaborative workspaces.
- A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
- A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
- Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
- Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
- We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups: All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.
MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers.
Applied AI – Index Research & Development in London employer: MSCI Inc
Contact Detail:
MSCI Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI – Index Research & Development in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at MSCI. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got projects or experiences related to AI, LLMs, or data science, be ready to discuss them in detail. Real-world examples can make you stand out.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and any relevant frameworks. Practice coding challenges and be ready to explain your thought process – it’s all about showcasing your problem-solving skills!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the MSCI team.
We think you need these skills to ace Applied AI – Index Research & Development in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the job description. Highlight your experience with AI, LLMs, and any relevant projects you've worked on. We want to see how you can contribute to our innovative team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and index research. Share specific examples of your work that demonstrate your expertise and how you can help us drive innovation at MSCI.
Showcase Your Technical Skills: Since this role involves advanced AI systems, be sure to mention your programming skills, especially in Python, and any experience with frameworks like LangChain or LlamaIndex. We love seeing candidates who can hit the ground running!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at MSCI Inc
✨Know Your AI Stuff
Make sure you brush up on your knowledge of large language models (LLMs), retrieval-augmented generation (RAG), and agentic systems. Be ready to discuss how these technologies can enhance index research and methodology interpretation, as this will show your understanding of the role.
✨Showcase Your Coding Skills
Since strong Python programming skills are essential, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain your approach to building scalable API-based solutions, so practice coding challenges related to AI frameworks like LangChain or LlamaIndex.
✨Understand Financial Indexes
Familiarise yourself with financial indexes, factors, ESG, and thematic investing. Being able to articulate how these elements play a role in institutional portfolios will set you apart and show that you can connect your technical skills with the financial domain.
✨Prepare for Collaboration Questions
Expect questions about teamwork and collaboration, as the role involves working closely with various teams. Think of examples from your past experiences where you successfully collaborated on projects, especially in fast-paced environments, and be ready to share those stories.